You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning and IoT enabled digital twin framework for monitoring open-pit coal mines
|
---|---|
Published in |
Frontiers in Energy Research, October 2023
|
DOI | 10.3389/fenrg.2023.1265111 |
Authors |
Rui Yu, Xiuyu Yang, Kai Cheng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 10 | 56% |
Student > Doctoral Student | 3 | 17% |
Student > Master | 1 | 6% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 10 | 56% |
Engineering | 3 | 17% |
Computer Science | 1 | 6% |
Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2023.
All research outputs
#20,372,319
of 25,040,629 outputs
Outputs from Frontiers in Energy Research
#871
of 4,338 outputs
Outputs of similar age
#233,478
of 337,726 outputs
Outputs of similar age from Frontiers in Energy Research
#23
of 310 outputs
Altmetric has tracked 25,040,629 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,338 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 310 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.